The Regulatory Reporting Quality Assurance (RRQA) team is responsible for providing governance and oversight of AMEX’s regulatory reporting processes, with a focus on proactively identifying risks and control improvement opportunities to ensure reports remain accurate, complete, and compliant. This is achieved through Quality Assurance reviews, which include the following pillars:
- Process and controls testing
- Validation of reported data against regulatory instructions
- Detailed analysis and testing of underlying data to ensure data quality.
This work is increasingly enabled by continuous monitoring and advanced analytics to enhance risk identification and coverage. The team partners closely with Regulatory Report owners, Technology, Data Governance, and other stakeholders to strengthen the control environment, drive timely remediation, and evolve capabilities through the use of innovative tools, including emerging analytics and GenAI solutions.
Participate as a key member of the RRQA Analytics & Insights team by leading the identification, prioritization, development, and implementation of analytics that strengthen the Regulatory Reporting Quality Assurance (RRQA) program. A QA Manager – Analytics & Insights will help shape the team's analytics strategy while remaining actively engaged in the design and development of high-value analytical solutions. This role will elevate the team's analytics capabilities by leveraging data, emerging technologies (e.g., GenAI), and innovative approaches to deliver proactive insights and improve quality assurance effectiveness.
The ideal candidate will have a strong understanding of financial services processes, system infrastructure, and risk and control frameworks, along with demonstrated analytical, problem-solving, and leadership skills. Specific responsibilities include:
- Identify and prioritize regulatory reporting risk and control areas where analytics can enhance QA effectiveness, improve testing coverage, and advance overall program maturity.
- Partner with QA leadership and business stakeholders to translate strategic priorities, business risks, controls, and data into a prioritized analytics roadmap and actionable requirements.
- Lead the design and development of complex analytics while providing technical guidance and oversight for analytics developed by team members.
- Drive the delivery of analytics that generate impactful, forward-looking insights and enable more proactive, risk-based quality assurance.
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- Establish and promote analytics best practices, development standards, documentation, and governance to ensure solutions are scalable, sustainable, and well controlled.
- Evaluate the effectiveness and business impact of analytics initiatives, identifying opportunities to enhance testing efficiency, automate manual activities, and strengthen QA outcomes.
- Assess and incorporate emerging technologies, advanced analytics techniques, and GenAI capabilities to continuously evolve the team's analytical capabilities and drive innovation.
- Build strong partnerships with regulatory reporting, technology, data governance, service management, and other stakeholders to influence priorities, facilitate data access, and promote adoption of analytics solutions.
- Lead, coach, and develop team members by fostering analytical thinking, technical capabilities, and a culture of continuous learning and innovation.
Minimum Qualifications
- 3+ years of relevant experience in quality assurance, audit, risk management, technology, and/or data analytics within financial services
- Experience applying data analytics to support quality assurance, audit, risk management, and/or financial services.
- Hands-on experience with data visualization and business intelligence tools (e.g., Tableau, Power BI, or similar).
- Ability to translate business objectives, risks, controls, and processes into analytical requirements and actionable insights.
- Experience partnering with business and technology stakeholders to understand requirements and deliver data-driven solutions.
- Strong analytical and problem-solving skills, with the ability to break down complex issues and recommend practical, actionable solutions.
- Strong written and verbal communication skills, including the ability to clearly communicate analytical findings and complex quantitative information to a variety of audiences.
- Proficiency in Microsoft Excel and PowerPoint.
- Bachelor’s degree in a quantitative or other relevant field (e.g., Analytics, Finance, Accounting, Statistics, Engineering, Computer Science, Information Systems).
Preferred Qualifications
- 5+ years of relevant experience in quality assurance, audit, risk management, technology, and/or data analytics within financial services.
- 3+ years of hands-on experience designing, developing, and implementing analytics that support quality assurance, audit, risk management, regulatory reporting, or other financial services functions.
- Experience with programming and data querying languages such as SQL, Python, or similar.
- Familiarity with emerging technologies (e.g., GenAI) and their application to data analytics, quality assurance, and risk management.
- Demonstrated ability to identify analytical opportunities, manage multiple priorities, and deliver high-impact solutions in a dynamic, evolving environment.
- Experience leading analytics initiatives or cross-functional projects, including coordinating stakeholders and developing team members.
- Advanced degree in a quantitative or related field
- Relevant professional certifications (e.g., CPA, CIA, CISA, CAP, or analytics/technology-focused equivalents)
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